Large Language Models
(โมเดลภาษาแบบขนาดใหญ่)
Definition
Large Language Models (โมเดลภาษาแบบขนาดใหญ่) Hard Skill
Large Language Models are advanced artificial intelligence systems trained on vast amounts of text data to understand, generate, and manipulate human language effectively.
Expertise Level
Level 1
Basic
1. Understands the basic concepts and purpose of Large Language Models (LLMs).
2. Can explain common applications of LLMs in simple terms.
3. Is familiar with prominent examples such as GPT and BERT.
Level 2
Intermediate
1. Can work with pre-trained LLMs for tasks such as text generation or classification.
2. Understands tokenization, model architecture basics, and training data influences.
3. Knows how to fine-tune LLMs on specific datasets for improved performance.
Level 3
Advanced
1. Can design, train, and optimize Large Language Models from scratch or extended pre-trained models.
2. Applies advanced techniques such as transfer learning, prompt engineering, and model compression.
3. Evaluates model biases, ethical considerations, and deployment challenges.
